Olympic National Park Amphibian Inventory and Monitoring (2000-2002)

Frequently-anticipated questions:


What does this data set describe?

Title:
Olympic National Park Amphibian Inventory and Monitoring (2000-2002)
Abstract:
The data set represents a variety of survey information about ponds in the Sol Duc drainage of Olympic National Park primarily pertaining to amphibian populations that use these sites as breeding areas.
  1. How should this data set be cited?

    Schindler, Daniel E. and Wendy J. Palen, 2002, Olympic National Park Amphibian Inventory and Monitoring (2000-2002):.

    This is part of the following larger work.

    Palen, W.J., Schindler, D.E., Adams, M.J., P, 2001, Optical characteristics of natural waters protect amphibians from UV-B in the Pacific Northwest: Ecology 83 (11), 2951-2957.

  2. What geographic area does the data set cover?

    West_Bounding_Coordinate: -124.38
    East_Bounding_Coordinate: -123.7
    North_Bounding_Coordinate: 48.06
    South_Bounding_Coordinate: 47.88
    Description_of_Geographic_Extent:
    Olympic National Park, Sol Duc drainage, primarily in the vicinity of the Seven Lakes Basin. GPS coordinates are given for each site in the data set.

  3. What does it look like?

  4. Does the data set describe conditions during a particular time period?

    Beginning_Date: May-2000
    Ending_Date: Sep-2002
    Currentness_Reference: ground condition

  5. What is the general form of this data set?

    Geospatial_Data_Presentation_Form: Spreadshet

  6. How does the data set represent geographic features?

    1. How are geographic features stored in the data set?

    2. What coordinate system is used to represent geographic features?

  7. How does the data set describe geographic features?

    ONP pond database.xls: survey
    Microsoft Excel spreadsheet describing pond survey details: physical characteristics and biological data (Source: Microsoft)

    % domsub
    percent cover of the dominant substrate type (Source: Dataset developer)

    Range of values
    Minimum:0
    Maximum:100
    Units:percent

    % emm veg
    percent cover of the pond surface by emmergent vegetation (Source: Dataset developer)

    Range of values
    Minimum:0
    Maximum:100
    Units:percent

    %trees, %herb, %bare/rock
    estimated percent of drainage covered by (trees, herbeceous vegetation, or bare soil or bare rock) (Source: Dataset developer)

    Range of values
    Minimum:0
    Maximum:100
    Units:percent

    a440, chlorophyll
    was a water sample taken for (light attenuation or chlorophyll) (Source: Dataset developer)

    ValueDefinition
    NNo
    YYes

    air T, water T
    measured temperature of air or water (Source: Dataset developer)

    Range of values
    Minimum:none
    Maximum:no limiT
    Units:degrees celcius

    AMMA, AMGR, AMSP, BUBO, RACA, TAGR
    survey and breeding status of species (AMMA = Ambystoma macrodactylum; AMGR = Ambystoma gracile; AMSP = Ambystoma unknown species; BUBO = Bufo boreas; RACA = Rana cascadae; TAGR = Taricha granulosa) (Source: Dataset developer)

    ValueDefinition
    0absent
    1present, but not breeding
    2present and evidence of breeding

    area (m^2)
    estimated surface area of pond (Source: Dataset developer)

    Range of values
    Minimum:0
    Maximum:no limit
    Units:square meters

    cat maxD
    maximum depth category (Source: Dataset developer)

    ValueDefinition
    <1less than 1 meter
    1-21 to 2 meters
    >2greater than 2 meters

    date
    date of survey (Source: Dataset developer)

    date recorded as day-month-year (##-MMM-##)

    DO (mg/l)
    surface measurment of dissolved oxygen (Source: Dataset developer)

    Range of values
    Minimum:none
    Maximum:no limit
    Units:milligrams per liter

    drain A (m^2)
    estimated area of pond drainage, may include < or > symbols (Source: Dataset developer)

    Range of values
    Minimum:0
    Maximum:no limit
    Units:square meters

    FISH
    fish presence (Y) or absence (N) from site (Source: Dataset developer)

    ValueDefinition
    Yfish present
    Nfish absent

    length (m), width (m)
    linear dimension of pond (length or width) (Source: Dataset devloper)

    Range of values
    Minimum:0
    Maximum:no limit
    Units:meters

    Palen site (all worksheets)
    unique site identifier, new naming system from previous surveys of sites (Source: dataset developer)

    List of site identifiers

    pH
    measure of pond acidity (Source: Unknown)

    Range of values
    Minimum:1
    Maximum:14

    region
    GPS region (zone) designation for UTM units (Source: The Universal Transverse Mercator (UTM) Grid - USGS Fact Sheet 077-01 (August 2001))

    Range of values
    Minimum:10
    Maximum:19

    siteID (all worksheets)
    unique site identifier, agrees with previous USGS and NPS surveys of sites (Source: National Park Service)

    List of unique site identifiers

    species dens, dens1, dens2, dens3
    species density within replicate quadrats (Source: Dataset developer)

    Range of values
    Minimum:0
    Maximum:no limit
    Units:individuals per square meter

    start time, end time
    (start or end) time of survey (Source: Dataset developer)

    Range of values
    Minimum:0000
    Maximum:2400
    Units:hours minutes
    Resolution:1

    substrate
    dominant category of pond substrate (Source: Dataset developer)

    ValueDefinition
    silt/mud 
    sm cobblesmall cobble
    med cobblemedium cobble
    lg cobblelarge cobble
    bedrock 

    UTM E
    UTM easting (x) grid coordinate (Source: The Universal Transverse Mercator (UTM) Grid - USGS Fact Sheet 077-01 (August 2001))

    Range of values
    Minimum:0
    Maximum:1000000
    Units:meters

    UTM N
    UTM northing (y) grid coordinate (Source: The Universal Transverse Mercator (UTM) Grid - USGS Fact Sheet 077-01 (August 2001))

    Range of values
    Minimum:0
    Maximum:no limit
    Units:meters

    ONP pond database.xls: pigments
    Microsoft Excel spreadsheet describing data collected for photosynthetic pigment analysis (Source: Microsoft)

    chl a mg/L
    density of chlorophyll a pigments in water column (Source: dataset developer)

    Range of values
    Minimum:0
    Maximum:no limit
    Units:milligrams per liter

    date collected, date analyzed
    date that data were (collected or analyzed) (Source: Dataset developer)

    date recorded as day-month-year (##-MMM-##)

    Fb, Fa
    fluorescence value under (standard or acidic) conditions (Source: dataset developer)

    Range of values
    Minimum:0
    Maximum:no limit

    filter volume
    volume of water sample filtered for pigment determination (Source: Dataset developer)

    Range of values
    Minimum:0
    Maximum:no limit
    Units:milliliters

    gain
    fluorometer gain setting (Source: Dataset developer)

    ValueDefinition
    5 
    10 
    50 
    200 
    1000 

    m, r, Q
    calculation parameters (Source: Marker et al. 1980, Arch fur Hydrobiologia, 14:52-69.)

    Range of values
    Minimum:0
    Maximum:no limit
    Resolution:0.0001

    pheo mg/L
    density of phaeophyton pigments in water column (Source: dataset developer)

    Range of values
    Minimum:0
    Maximum:no limit
    Units:milligrams per liter

    total pigments
    combined density of chlorophyll a and phaeophyton pigments (Source: Dataset developer)

    Range of values
    Minimum:0
    Maximum:no limit
    Units:milligrams per liter

    ONP pond database.xls: uv
    Microsoft Excel spreadsheet describing data collected to characterize UV-B radiation (Source: Microsoft)

    a440 (m)
    absorption of 440 nm light per meter of light path (Source: measured value)

    Range of values
    Minimum:0 (missing values are null)
    Maximum:unknown

    date collected, date analyzed
    date that sample was (collected or analyzed) (Source: Dataset developer)

    date recorded as day-month-year (##-MMM-##)

    Kd (cm)
    diffuse attenuation coefficient for UV-B (Source: measured value)

    Range of values
    Minimum:0 (missing value is null)
    Maximum:unknown negative number

    mg C/L
    milligrams of carbon per liter of water as estimated by catalytic oxidation infrared detection (Source: measured value)

    Range of values
    Minimum:0
    Maximum:unknown
    Units:milligrams per liter

    p(UV) 10cm
    estimated percent of surface UV-B at 10cm water depth (Source: Dataset developer)

    Range of values
    Minimum:0
    Maximum:100
    Units:percent

    sample type
    type of sample collected (Source: Dataset developer)

    ValueDefinition
    DOCdissolved organic carbon
    ABSUV absorption estimate

    umol C
    millimols of carbon in water as estimated by catalytic oxidation infrared detection (Source: measured value)

    Range of values
    Minimum:0
    Maximum:unknown
    Units:millimols

    UV est
    estimated amount of Diffey weighted UV-B light to reach 10 cm water depth if surface irradiance is 26.4 microWatts per square cm (Source: calculated value)

    Range of values
    Minimum:0 (missing value is null)
    Maximum:unknown

    ONP pond database.xls: nutrients
    Microsoft Excel spreadsheet describing pond nutrient analysis (Source: Microsoft)

    [ TN ] ug/L
    total nitrogen content of unfiltered water samples (Source: measured value)

    Range of values
    Minimum:0
    Maximum:no limit
    Units:micrograms per liter

    [ TP ] ug/L
    total phosphorous content of unfiltered water samples (Source: measured value)

    Range of values
    Minimum:0
    Maximum:no limit
    Units:micrograms per liter

    date collected
    date sample was collected (Source: Dataset developer)

    date recorded as day-month-year (##-MMM-##)

    TN/TP
    ratio of total nitrogen to total phosphorous (Source: calculated value)

    Range of values
    Minimum:0
    Maximum:no limit

    ONP pond database.xls: dissolved oxygen
    Microsoft Excel spreadsheet describing dissolved oyxgen measurements (Source: Microsoft)

    date
    date of sampling (Source: Dataset developer)

    date recorded as day-month-year (##-MMM-##)

    depth cm
    water depth of dissolved oxygen reading (Source: measured value)

    Range of values
    Minimum:0
    Maximum:unknown
    Units:centimeters

    DO mg/l
    milligrams of oxygen per liter of water (Source: measured value)

    Range of values
    Minimum:0
    Maximum:unknown
    Units:milligrams per liter

    temp C
    temperature at water depth of dissolved oxygen reading (Source: measured value)

    Range of values
    Minimum:0
    Maximum:unknown
    Units:degrees Celcius

    time
    time of sampling (Source: Dataset developer)

    Range of values
    Minimum:0000 (null = NR)
    Maximum:2400
    Units:HHMM

    ONP pond database.xls: zooplankton
    Microsoft Excel spreadsheet describing pond zooplankton sampling (Source: Microsoft)

    date collected
    date of collection (Source: Dateset developer)

    date recorded as day-month-year (##-MMM-##)

    dillution (ml)
    original sample dilluted to this volume for counting and identification (Source: Dataset developer)

    Range of values
    Minimum:greater than 0
    Maximum:unknown
    Units:milliliters

    sub no
    identifies subsample number (replicates) (Source: Dataset developer)

    Range of values
    Minimum:1
    Maximum:3
    Resolution:1

    sub vol (ml)
    subsample volume examined for zooplankton identificaiton and density estimates (Source: Dataset developer)

    Range of values
    Minimum:greater than 0
    Maximum:unknown
    Units:millimeters

    taxa
    description of taxa (Source: Dataset developer)

    List of taxa descriptions

    taxa_count
    number of given taxa counted in subsample (Source: Dataset developer)

    Range of values
    Minimum:0
    Maximum:unknown

    taxa_density/L
    density of given taxa in sample (Source: Dataset developer)

    Range of values
    Minimum:0
    Maximum:unknown
    Units:count per liter

    tow (cm)
    length of horizontal zooplankton tow (Source: Dataset developer)

    Range of values
    Minimum:0
    Maximum:unknown
    Units:centimeters

    ONP pond database.xls: benthic inverts
    Microsoft Excel spreadsheet containing benthic invertebrate sampling data (Source: Microsoft)

    Class
    Class of taxa (Source: Dataset developer)

    List of classes

    count
    count of the number of each taxa in sample (Source: Dataset developer)

    Range of values
    Minimum:0
    Maximum:no limit

    date collected
    Date of collection (Source: Dataset developer)

    date recorded as day-month-year (##-MMM-##)

    Family
    Family of taxa (Source: Dataset developer)

    List of families

    Order
    Order of taxa (Source: Dataset developer)

    List of orders

  8. What biological taxa does this data set concern?

    Taxonomy:
    Keywords/Taxon:
    Taxonomic_Keyword_Thesaurus: None
    Taxonomic_Keywords: amphibians
    Taxonomic_Keywords: benthic macorinvertebrates
    Taxonomic_Keywords: zooplankton
    Taxonomic_Classification:
    Taxon_Rank_Name: Kingdom
    Taxon_Rank_Value: Animalia
    Taxonomic_Classification:
    Taxon_Rank_Name: Phylum
    Taxon_Rank_Value: Arthropoda
    Taxonomic_Classification:
    Taxon_Rank_Name: Subphylum
    Taxon_Rank_Value: Hexapoda
    Taxonomic_Classification:
    Taxon_Rank_Name: Class
    Taxon_Rank_Value: Insecta
    Taxonomic_Classification:
    Taxon_Rank_Name: Subclass
    Taxon_Rank_Value: Pterygota
    Taxonomic_Classification:
    Taxon_Rank_Name: Order
    Taxon_Rank_Value: Heteroptera
    Taxonomic_Classification:
    Taxon_Rank_Name: Family
    Taxon_Rank_Value: Corixidae
    Applicable_Common_Name: water boatman
    Applicable_Common_Name: corises
    Taxonomic_Classification:
    Taxon_Rank_Name: Order
    Taxon_Rank_Value: Homoptera
    Applicable_Common_Name: scale insects
    Applicable_Common_Name: treehoppers
    Applicable_Common_Name: whiteflies
    Applicable_Common_Name: afídeo
    Applicable_Common_Name: cigarra
    Applicable_Common_Name: coccídeo
    Applicable_Common_Name: cochonilha
    Applicable_Common_Name: pulgão
    Applicable_Common_Name: aleurodes
    Applicable_Common_Name: cochenilles
    Applicable_Common_Name: membracides
    Taxonomic_Classification:
    Taxon_Rank_Name: Superorder
    Taxon_Rank_Value: Neoptera
    Taxonomic_Classification:
    Taxon_Rank_Name: Order
    Taxon_Rank_Value: Coleoptera
    Taxonomic_Classification:
    Taxon_Rank_Name: Suborder
    Taxon_Rank_Value: Adephaga
    Taxonomic_Classification:
    Taxon_Rank_Name: Family
    Taxon_Rank_Value: Dytiscidae
    Applicable_Common_Name: predaceous diving beetles
    Applicable_Common_Name: ditiques
    Taxonomic_Classification:
    Taxon_Rank_Name: Order
    Taxon_Rank_Value: Diptera
    Taxonomic_Classification:
    Taxon_Rank_Name: Suborder
    Taxon_Rank_Value: Nematocera
    Taxonomic_Classification:
    Taxon_Rank_Name: Infraorder
    Taxon_Rank_Value: Culicomorpha
    Taxonomic_Classification:
    Taxon_Rank_Name: Family
    Taxon_Rank_Value: Chironomidae
    Applicable_Common_Name: midges
    Applicable_Common_Name: moucherons
    Taxonomic_Classification:
    Taxon_Rank_Name: Family
    Taxon_Rank_Value: Culicidae
    Applicable_Common_Name: mosquitoes
    Applicable_Common_Name: maringouins
    Applicable_Common_Name: moustiques
    Taxonomic_Classification:
    Taxon_Rank_Name: Family
    Taxon_Rank_Value: Chaoboridae
    Taxonomic_Classification:
    Taxon_Rank_Name: Family
    Taxon_Rank_Value: Chydoridae
    Taxonomic_Classification:
    Taxon_Rank_Name: Order
    Taxon_Rank_Value: Trichoptera
    Taxonomic_Classification:
    Taxon_Rank_Name: Superfamily
    Taxon_Rank_Value: Limnephiloidea
    Taxonomic_Classification:
    Taxon_Rank_Name: Family
    Taxon_Rank_Value: Limnephilidae
    Applicable_Common_Name: northern caddisflies
    Taxonomic_Classification:
    Taxon_Rank_Name: Order
    Taxon_Rank_Value: Thysanoptera
    Taxonomic_Classification:
    Taxon_Rank_Name: Family
    Taxon_Rank_Value: Thripidae
    Taxonomic_Classification:
    Taxon_Rank_Name: Superorder
    Taxon_Rank_Value: Paleoptera
    Taxonomic_Classification:
    Taxon_Rank_Name: Order
    Taxon_Rank_Value: Odonata
    Taxonomic_Classification:
    Taxon_Rank_Name: Suborder
    Taxon_Rank_Value: Anisoptera
    Taxonomic_Classification:
    Taxon_Rank_Name: Family
    Taxon_Rank_Value: Libellulidae
    Applicable_Common_Name: common skimmers
    Applicable_Common_Name: libellulidés
    Taxonomic_Classification:
    Taxon_Rank_Name: Subphylum
    Taxon_Rank_Value: Crustacea
    Taxonomic_Classification:
    Taxon_Rank_Name: Class
    Taxon_Rank_Value: Branchiopoda
    Taxonomic_Classification:
    Taxon_Rank_Name: Sub Class
    Taxon_Rank_Value: Phyllopoda
    Taxonomic_Classification:
    Taxon_Rank_Name: Order
    Taxon_Rank_Value: Diplostraca
    Taxonomic_Classification:
    Taxon_Rank_Name: Sub Order
    Taxon_Rank_Value: Cladocera
    Taxonomic_Classification:
    Taxon_Rank_Name: Family
    Taxon_Rank_Value: Daphniidae
    Taxonomic_Classification:
    Taxon_Rank_Name: Genus
    Taxon_Rank_Value: Daphnia
    Taxonomic_Classification:
    Taxon_Rank_Name: Genus
    Taxon_Rank_Value: Ceriodaphnia
    Taxonomic_Classification:
    Taxon_Rank_Name: Family
    Taxon_Rank_Value: Sididae
    Taxonomic_Classification:
    Taxon_Rank_Name: Genus
    Taxon_Rank_Value: Diaphanosoma
    Taxonomic_Classification:
    Taxon_Rank_Name: Class
    Taxon_Rank_Value: Maxillopoda
    Taxonomic_Classification:
    Taxon_Rank_Name: Sub Class
    Taxon_Rank_Value: Copepoda
    Taxonomic_Classification:
    Taxon_Rank_Name: Order
    Taxon_Rank_Value: Cyclopoida
    Taxonomic_Classification:
    Taxon_Rank_Name: Order
    Taxon_Rank_Value: Calanoida
    Taxonomic_Classification:
    Taxon_Rank_Name: Subphylum
    Taxon_Rank_Value: Chelicerata
    Taxonomic_Classification:
    Taxon_Rank_Name: Class
    Taxon_Rank_Value: Arachnida
    Taxonomic_Classification:
    Taxon_Rank_Name: Order
    Taxon_Rank_Value: Acari
    Taxonomic_Classification:
    Taxon_Rank_Name: Sub Order
    Taxon_Rank_Value: Hydracarina
    Taxonomic_Classification:
    Taxon_Rank_Name: Phylum
    Taxon_Rank_Value: Annelida
    Taxonomic_Classification:
    Taxon_Rank_Name: Class
    Taxon_Rank_Value: Clitellata
    Taxonomic_Classification:
    Taxon_Rank_Name: Sub Class
    Taxon_Rank_Value: Oligochaeta
    Taxonomic_Classification:
    Taxon_Rank_Name: Phylum
    Taxon_Rank_Value: Mollusca
    Taxonomic_Classification:
    Taxon_Rank_Name: Class
    Taxon_Rank_Value: Bivalvia
    Taxonomic_Classification:
    Taxon_Rank_Name: Sub Class
    Taxon_Rank_Value: Heterodonta
    Taxonomic_Classification:
    Taxon_Rank_Name: Order
    Taxon_Rank_Value: Veneroida
    Taxonomic_Classification:
    Taxon_Rank_Name: Family
    Taxon_Rank_Value: Pisidiidae (Sphaeriida)
    Taxonomic_Classification:
    Taxon_Rank_Name: Phylum
    Taxon_Rank_Value: Chordata
    Taxonomic_Classification:
    Taxon_Rank_Name: Sub Phylum
    Taxon_Rank_Value: Vertebrata
    Taxonomic_Classification:
    Taxon_Rank_Name: Class
    Taxon_Rank_Value: Amphibia
    Taxonomic_Classification:
    Taxon_Rank_Name: Order
    Taxon_Rank_Value: Caudata
    Taxonomic_Classification:
    Taxon_Rank_Name: Family
    Taxon_Rank_Value: Ambystomatidae
    Taxonomic_Classification:
    Taxon_Rank_Name: Genus
    Taxon_Rank_Value: Ambystoma
    Taxonomic_Classification:
    Taxon_Rank_Name: Species
    Taxon_Rank_Value: Ambystoma macrodactylum
    Applicable_Common_Name: long-toed salamander
    Taxonomic_Classification:
    Taxon_Rank_Name: Species
    Taxon_Rank_Value: Ambystoma gracile
    Applicable_Common_Name: northwestern salamander
    Taxonomic_Classification:
    Taxon_Rank_Name: Family
    Taxon_Rank_Value: Salamandridae
    Taxonomic_Classification:
    Taxon_Rank_Name: Genus
    Taxon_Rank_Value: Taricha
    Taxonomic_Classification:
    Taxon_Rank_Name: Species
    Taxon_Rank_Value: Taricha granulosa
    Applicable_Common_Name: rough-skinned newt
    Taxonomic_Classification:
    Taxon_Rank_Name: Order
    Taxon_Rank_Value: Anura
    Taxonomic_Classification:
    Taxon_Rank_Name: Family
    Taxon_Rank_Value: Bufonidae
    Taxonomic_Classification:
    Taxon_Rank_Name: Genus
    Taxon_Rank_Value: Bufo
    Taxonomic_Classification:
    Taxon_Rank_Name: Species
    Taxon_Rank_Value: Bufo boreas
    Applicable_Common_Name: western toad
    Taxonomic_Classification:
    Taxon_Rank_Name: Family
    Taxon_Rank_Value: Ranidae
    Taxonomic_Classification:
    Taxon_Rank_Name: Genus
    Taxon_Rank_Value: Rana
    Taxonomic_Classification:
    Taxon_Rank_Name: Species
    Taxon_Rank_Value: Rana cascadae
    Applicable_Common_Name: Cascades frog


Who produced the data set?

  1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)

  2. Who also contributed to the data set?

    This research was funded by USGS Forest and Rangeland Ecosystem Science Center and Olympic National Park.

  3. To whom should users address questions about the data?

    Daniel Schindler
    University of Washington
    University of Washington
    School of Aquatic and Fisheries Sciences
    Box 355020
    Seattle, WA 98195-1800

    (206) 221-6884 (voice)


Why was the data set created?

Inventory and monitoring efforts in Olympic National Park


How was the data set created?

  1. What methods were used to collect the data?

    Method 0 of 1
    Type: Field

    Total nitrogen and total phosphorous samples were collected as unfiltered surface water (125 ml) in acid washed polyethylene bottles and frozen within 5 days of collection. To explore the spatial and temporal variation in nutrient concentrations, a sub-set of frozen samples were then analyzed with a Carlo Erba CHN analyzer (Wetzel and Likens 1991, American Public Health Association 1992). Dissolved oxygen (DO) was estimated with a hand-held meter corrected for temperature (Yellow Springs Incorporated, Model DO550) at 10cm depth intervals, and pH estimated from the surface waters with a waterproof field meter calibrated weekly (Accumet AP63 portable pH meter). Photosynthetic pigments (chlorophyll-a and phaeophyton) were collected by filtration of surface water through a 0.7-micron glass fiber filter (Whatman GF-C, 47mm diameter). Filters were held on ice until being frozen upon return to the lab (< 7 days after collection) and then extracted in 30 mL HPLC grade methanol for 24 hours. We calculated the fluorescence of the supernatant of extracted pigments with a Turner model 450 flurometer under standard and acidified conditions according to the methods of Marker et al. (1980).

    The exposure of amphibians to potentially harmful levels of UV-B radiation is a function of the ambient flux of UV-B radiation, optical properties of the environment, and behavioral adaptations of individuals. Based on the potential for UV-B to regulate amphibian populations in Olympic National Park, we collected water samples to characterize the seasonal and annual variation in the transmission of UV-B radiation in each of the focal sites around Clear Lake.

    Water samples (125 ml) for dissolved organic matter and absorption of 440 nm light were filtered through a 0.2-micron syringe filter (2000: Gelman Acrodisc, nylon, 25 mm diameter, 2001-2002: Millipore, PTFE , 47 mm diameter) and refrigerated in the dark at 4-10°C until analysis. Dissolved organic matter was estimated by catalytic oxidation infrared detection using a Shimadzu total organic carbon analyzer. Absorbance (A) of 440 nm light passed through a 10-cm quartz cuvette (path length, z) containing each filtered water sample was determined using a Shimadzu UV-2100 model double beam spectrophotometer, and related to absorption (a) at 440 nm according to Lambert’s and Beer’s Laws, where a440 = ((2.303 x A440)/z). Estimates of in situ UV-B attenuation coefficients (Kd) made at seven sites in Olympic National Park were determined as part of the U.S. EPA’s PRIMENet program, and were collected on clear sky days within 2 h of solar noon (Kirk 1994b, Peterson et al. 2002). Attenuation coefficients reported for a given site represent the average of three consecutive light profiles, where five to six measurements were made for each profile from just above the water surface to a depth where 5% of the surface UV-B irradiance remained or the bottom of the pond was reached.

    During the summer of 2000, 2001, and 2002, amphibian species presence and breeding effort was assessed on a frequent basis (weekly to monthly) in all sites around Clear Lake and surveys often included sites surrounding Lunch Lake and the Wye Lakes basin. In addition to these regular visits, on two dates during each summer, official amphibian surveys were conducted according to the established Visual Encounter Search method (Bury and Major 1997, Thoms et al. 1997), to allow comparison with existing survey data from the area. According to this technique two trained surveyors wade the shallow water edge of each pond extensively searching the shoreline, substrate, and macrophytes for amphibian species presence and evidence of breeding (indicated by the presence of eggs or larvae). Most sites are visited and surveyed according to this technique twice to estimate species occurrence probabilities.

    During summer 2000, we sampled 8 focal ponds around Clear Lake and one site in the Mink Lake-Deer Lake drainage (MD-630) to generate an invertebrate inventory (zooplankton and benthic invertebrates) for a sub-set of amphibian breeding sites. We collected zooplankton from the water column using a 153µm mesh net (0.25 m diameter) towed horizontally just below the surface of each pond. Zooplankton samples were concentrated and preserved in 95% EtOH, identified to genus, and densities calculated based on the assumption of 100% net efficiency (total volume sampled (L) = p · r2 · Length of combined horizontal tows (m), Edmondson and Litt 1982). To develop a taxonomic list of benthic invertebrates and assess their relative abundance we sampled open and vegetated nearshore habitats with timed sweeps of D-shaped nets (10 second sweeps, net: 500 micron mesh, 30.5 cm diameter) in proportion to their occurrence at each site. Given the variety of benthic habitats encountered both within and across sites in the Seven Lakes basin, we determined that true quantitative sampling of benthic invertebrates would be extremely difficult, and chose to focus our sampling primarily on developing site-level inventories.

    Reference:

  2. From what previous works were the data drawn?

  3. How were the data generated, processed, and modified?

    Date: Unknown (process 1 of 1)
    Original data collection, no processing

  4. What similar or related data should the user be aware of?


How reliable are the data; what problems remain in the data set?

  1. How well have the observations been checked?

    No tests for attribute accuracy were conducted

  2. How accurate are the geographic locations?

  3. How accurate are the heights or depths?

  4. Where are the gaps in the data? What is missing?

    Refer to Methodology

  5. How consistent are the relationships among the observations, including topology?

    Data were field checked, entered, and checked again for accuracy. Whenever practical we collected duplicate samples or multiple surveys to estimate the variance in the data


How can someone get a copy of the data set?

Are there legal restrictions on access or use of the data?

Access_Constraints: Data are available after research results have been published.
Use_Constraints: Refer to data set contact above for restrictions on use.


Who wrote the metadata?

Dates:
Last modified: 01-Oct-2003
Last Reviewed: 07-Oct-2003
Metadata author:
Metadata Coordinator
U.S. Geological Survey Forest and Rangeland Ecosystem Science Center
3200 SW Jefferson Way
Corvallis, OR 97331

541-750-7343 (voice)
541-758-7761 (FAX)
george_lienkaemper@usgs.gov

Metadata standard:
FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata (FGDC-STD-001.1-1999)


Generated by mp version 2.8.10 on Wed Apr 12 14:10:57 2006